电子学报2009，Vol.37Issue(10)：2215-2219,5.
基于边缘和区域信息相结合的变分水平集图像分割方法
Varitional Level Set Image Segmentation Method Based on Boundary and Region Information
摘要
Abstract
Being GAC model and C-V model has the unsatisfactory segmental results and inefficient curve evolution against weak boundary and intensity inhomogeneity images respectively, an unproved varitional level set image segmentation method is proposed. Our model consists of an external energy term that integrate the image information from both the gradient and region, and an internal energy term forces the level set function to be close a signed distance function.Therefore completely eliminates the need of re-initialization procedure.The method incorporate the additional constraint information based object's prior knowledge, which can improve the segmentation accuracy. Experimental results show that the method is effectiveness and feasibility on segmenting the noisy blurry boundary and intensity inhomogeneity images.关键词
图像分割/偏微分方程/变分水平集/先验知识Key words
image segmentation/ FDE/ variational level set/ prior knowledge分类
信息技术与安全科学引用本文复制引用
何宁,张朋..基于边缘和区域信息相结合的变分水平集图像分割方法[J].电子学报,2009,37(10):2215-2219,5.基金项目
国家自然科学基金(No.60532080) （No.60532080）
北京市自然科学基金(No.4051002) （No.4051002）
